• IE interfaces
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• v.19 no.1
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• pp.86-96
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• 2006

Some customer data of manufacturing industries have a large number of incomplete data set due to the customer's infrequent purchasing behavior and the limitation of customer profile data gathered from sales representatives. So that, most sophisticated data analysis methods may not be applied directly. This paper proposes a heuristic data analysis method to classify customers in household appliances industries. The proposed PD (percent of difference) method can be used for the discriminant analysis of incomplete customer data with simple mathematical calculations. The method is composed of variable distribution estimation step, PD measure and cluster score evaluation steps, variable impact construction step, and segment assignment step. A real example is also presented.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.93-106
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• 2019

This study is purposed to make sure of the Effects of Hotel Brand Equity on Enterprise Trust and Customer Citizenship Behavior. For this study, the effects of Hotel Brand Equity on Enterprise, the effects of Hotel Brand Equity on Customer Citizenship Behavior and the effects of Enterprise Trust on Customer Citizenship Behavior were analyzed statically by the method of multiple regression analysis. Hotel Brand Equity consists of 3 elements(Perceived Service Quality, Brand Image, Brand Awareness), Enterprise Trust is made of 2 elements(Enterprise Ability, Enterprise Sincerity) and Customer Citizenship Behavior has 2 element(Guest Preference, Guest Helping). As a result, three things have been found. First, Perceived Service Quality has a positive influence on both of Enterprise Trust and Customer Citizenship Behavior which means that Perceived Service Quality is the most essential element for hotel marketing performance. Second, Brand Image has a positive influence partly on Enterprise Trust, that is, only on Enterprise Ability, not Enterprise Sincerity and also on both Guest Preference and Guest Helping whereas Brand Awareness has a positive influence on both of Enterprise Ability and Sincerity but it has no influence on Customer Citizenship Behavior. Third, Enterprise Sincerity has a positive influence on both of two elements in Customer Citizenship Behavior whereas Enterprise Ability has a positive influence on only Guest Helping.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.94-103
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• 2006

Purpose: This study was conducted to evaluate customer satisfaction of general health examination service and to determine how the customer satisfaction affected to revisiting intention, their change of health belief, self-efficacy, and health promoting behavior. Method: Data were collected with questionnaires from 92 customers, who took general health examination at G University Medical Hospital having symptoms of hypertension, diabetes, high blood cholesterol, and obesity. Data were analyzed by the SPSS for windows 10.0 program. Result: Level of customer satisfaction were closely related to one of revisiting intention (r=.791, p=.000). 2) Through multiple regression analysis, factors that affect the customer' revisiting intention were found to be satisfaction in consultation of results (F=126.166, p=.000), examination environment (F=77.490, p=.001), and examination process (F=55.932, p=.024). It could explain 64.4% of customers' revisiting intention. Group displaying higher level of satisfaction showed highly increase in health belief following the examination, and the difference was statistically significant (t=-2.035, p=.045). They also showed a more improved health promoting behavior following the examination, and the difference was statistically significant (t=-2.316, p=.023). Conclusion: Health belief and health promoting behavior was improved following the general health examination. In addition, these changes were more significant in customers who displayed in a higher level of customer satisfaction.

• Journal of the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.21-33
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• 2006

The purpose of this study were 1) to analyze customer relationship management(CRM) based on the online customer experiences by product types (i.e., men's, women's, casual, sports wear), 2) to analyze CRM based on the off-line customer experiences by product type, and 3) to examine customer purchase behavior of fashion products and internet usage behavior by product types. Survey and 1:1 interview were conducted from January 13th to May 16th, 2005. Six consumers from each brand (i.e., 3 loyal customers and 3 general customers) in a total of 24 customers were selected from each product type. For the data analysis, content analysis and descriptive statistics (i.e. frequency) were used. Among the key study findings first, as a result of the on-line CRM experience, the customers of men's wear preferred receiving customized information through e-mail or SMS service. The customers of sports wear preferred receiving a different level of information and participating in customized product service. Second, as a result of the off-line CRM experience, the customers of men's wear need to be encouraged to join a membership at a sales encounter and the customers of women's wear preferred receiving quick information of new products and participating in a design development planning of the merchandising process. Third, the purchasing behavior of the customers of women's wear are influenced mostly by the salesperson and the store atmosphere when they purchase clothes and the customers of men's wear are price-sensitive. The results of this study can be used when fashion brands perform strategic planning and decision making on CRM.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1389-1399
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• 2006

The purpose of this study was to measure customer equity, to identify customer equity dimensions reflecting characteristics of fashion products, and to understand dimensions that influence customer equity of fashion product. As for this research, an exit poll was conducted at 6 department stores located in Seoul and total 406 responses were used for the analysis. For the data analysis, descriptive statistics(i. e. frequency, percent, $X^{2}$), factor analysis, multiple-regression were used by utilizing SPSS 10.0 program. The results of this study were as follows: First, 35.5% of fashion product customer equity distributes between 1 million and 3 million won, 32.8% between 100,000 won and 1 million won in present. Second, as a result of factor analysis, dimensions of fashion product customer equity consists of 6 factors, including 'personalized relationship', 'discriminative brand image', 'cognitive value', 'beneficial value', 'constant brand image', and 'credible relationship' Third, the effect of fashion product factors on consumer equity, the higher 'personalized relationship', 'unique brand image', and 'trust relationship' are, the higher customer equity is. In conclusion, this study has significance in that it helps measure customer equity by predicting consumer's future purchase behavior in money and to understand influencing factors for fashion product customer equity.

• Korean Management Science Review
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• v.26 no.1
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• pp.183-196
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• 2009

Customer retention has been a pressing issue for companies to get and maintain the loyal customers in the competing environment. Lots of researchers make effort to seek the characteristics of the churning customers and the loyal customers using the data mining techniques such as decision tree. However, such existing researches don't consider relationships among customers. Social network analysis has been used to search relationships among social entities such as genetics network, traffic network, organization network and so on. In this study, a customer network is proposed to investigate the differences of network characteristics of churning customers and loyal customers. The customer networks are constructed by analyzing the real purchase data collected from a Korean cosmetic provider. We investigated whether the churning customers and the loyal customers have different degree centralities and densities of the customer networks. In addition, we compared products purchased by the churning customers and those by the loyal customers. Our data analysis results indicate that degree centrality and density of the churning customer network are higher than those of the loyal customer network, and the various products are purchased by churning customers rather than by the loyal customers. We expect that the suggested social network analysis is used to as a complementary analysis methodology with existing statistical analysis and data mining analysis.

• Journal of Korea Trade
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• v.27 no.1
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• pp.119-138
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• 2023

Purpose - This research is to empirically explore the differences in apparel consumption among male and female teenagers and college students in Korea and China. By conducting a survey to understand customers' needs and behaviors, fashion businesses will be able to improve their customer satisfaction and avoid redundancy, inventory, and the waste of resources, effort and money. Design/methodology - The research design considers the consumption patterns of male and female high school and college students in Korea and China. To analyze the data, the study employs decision trees, a type of machine learning algorithm. A decision tree model was developed to examine the relationship between the explanatory and response variables, which can be either quantitative or qualitative in nature. Findings - The main findings of this study indicate that there are differences in shopping behavior among different customer segments. The results show that men have a simpler shopping behavior compared to women. Additionally, cultural factors and the difference in fashion needs between students and non-students have a significant impact on the shopping choices of Chinese and Korean individuals. Originality/value - Existing studies often assume that the shopping behavior of high school and university students is similar and that there are no significant differences in clothing purchases between men and women across countries. The results provide valuable insights into the unique shopping behavior of different customer segments, and can inform fashion businesses in their efforts to meet the needs of their customers.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.301-311
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• 2005

This study has conducted to measure the internet banking customer satisfaction using structured equation model. Data was collected by e-mail system. Among survey panel who had experience of using Hanwha-Bank internet banking service, final samples were 2,848 respondents. The results showed that usage convenience and economy factor was most correlated with customer satisfaction. And we found that word-of-mouth behavior was affected customer satisfaction.

• Design Convergence Study
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• v.16 no.6
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• pp.43-58
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• 2017

Recently, service failure from dysfunctional customer behavior has been observed in various service industries. Customers so-called 'Jaycustomer' can make bad influence to other customer's service experience which can be the obstacle of ideal service delivery. Therefore, approaching dysfunctional customer in service design perspective have became necessary, and modelling such customers through persona could be useful. For this purpose, we suggested the concept 'Evil Persona', and to find statements of personality trait which can make designers predict dysfunctional customer behavior, literature review and Q method analysis were performed. In result, dysfunctional customer behaviors were differed from service characteristics and were able to predict by combinations of statements. Based on this, more detailed customer information could be offered by presenting differentiated dysfunctional behavior information according to service characteristics. Since service design expanded its area, 'Evil Persona' can be valuable as criteria of verifying and compensating idea's vulnerability and limitation.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.136-149
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• 2009

The purpose of this paper is to explore the types of failed service and its effect on customer's negative emotions in the restaurant business and their influence on customer's behavior. The study examines the restaurant attributes of failed service in order to determine which variables have the greatest impact on customer's negative emotions and behaviors. To accomplish the purpose of this study, a casual model is developed - which analyzes the main antecedents, moderators and consequences of failed service in the restaurant business. The findings of this study are as follows. 4 types of failed services are found: lack of tangibles, doubt of reliability, unresponsiveness, no expressed empathy. They have an effect on customer's negative emotions(regret and disappointment). And the customer's negative emotions brings out negative behaviors(bad actions, switching brand, protest, negative word of mouth). Customer's regret causes bad actions and switching brand, and customer's disappointment caused switching brand and bad information by word of mouth.